Sentiment analysis of Vaccine- Related Online Newspaper Comments

Analyzed 17 million New York Times article comments on vaccines to assess sentiment shifts after COVID-19. Employed EDA and NLP techniques, to reveal 90% positive conversation shift. Summarized findings in a presentation and research paper.

Movie Recommender Shiny App

A movie recommender app was developed as an R Shiny App. The dataset contains about 1 million anonymous ratings of approximately 3,900 movies. System I: Recommendation Based on Genres. System II: Recommendation Based on IBCF

Analyze Artist Insights via Spotify

The application aims to look at particular aspects of your favourite artists' music through some of Spotify's insights: valence, danceability and energy! Users can learn about any artist's discography through and even filter for a specific album to find insights.

Data Professional Survey

The dashboard presents a breakdown of a survey conducted with over 600 data professionals, highlighting key demographics. Advanced DAX formulas were utilized for precise KPI calculations, while Power Query played a critical role in ensuring data cleanliness and structure.

Credit Card Fraud Detection

I utilized Python to analyze a highly imbalanced dataset and answer 3 business questions. This project involved comparing multiple models, to determine the most effective approach. A key highlight of this project was the use of a pipeline in conjunction with GridSearchCV for tuning the parameters